Lead Engineer - Bank Tech

Company:  Capital One
Location: New York
Closing Date: 07/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description

As a Lead Engineer at our company, you'll be a part of a team of technical experts shaping the future of banking in the cloud. Collaborate with developers, machine learning experts, and product managers to drive innovation and optimize business outcomes while ensuring strong technology solutions. Promote a culture of engineering excellence, mentor talent, and contribute technical expertise across the organization. Lead by articulating a bold technical vision, ensuring quality of technical design and implementation, and acting as an authoritative expert on system characteristics. Explore new cloud technologies and collaborate with tech leaders to drive strategy. If you're ready to provide thought leadership and build engineering excellence, join us in our mission to change banking for good.

  • Articulate and evangelize a bold technical vision
  • Decompose complex problems into practical solutions
  • Ensure quality of technical design and implementation
  • Serve as an authoritative expert on system characteristics
  • Explore new cloud technologies and identify applications
  • Develop patterns for cloud to enable business initiatives
  • Collaborate with tech leaders to drive strategy
  • Evangelize cloud strategy and best practices

Basic Qualifications

  • Bachelor's Degree
  • At least 10 years of experience with software programming
  • At least 7 years of experience with solution architecture or software engineering
  • At least 5 years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications

  • Master's Degree in Computer Science or a related field
  • 10+ years of professional experience in system development
  • 7+ years of experience using Python or Java, or Go, and SQL
  • 6+ years of experience in Machine Learning frameworks (Pytorch, TensorFlow, XGBoost, ScikitLearn, etc.)
  • 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis
  • 3+ years of experience with streaming and event driven technologies
  • 1+ year of experience deploying machine learning models
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

This role is also eligible to earn performance based incentive compensation.

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